Separation of pedogenic and lithogenic components of magnetic susceptibility in the Chinese loess/palaeosol sequence as determined by the CBD procedure and a mixing analysis

Magnetic susceptibility variations in the Chinese loess/palaeosol sequences have been used extensively for palaeoclimatic interpretations. The magnetic signal of these sequences must be divided into lithogenic and pedogenic components because the palaeoclimatic record is primarily reflected in the pedogenic component. In this paper we compare two methods for separating the pedogenic and lithogenic components of the magnetic susceptibility signal: the citrate-bicarbonate-dithionite (CBD) extraction procedure, and a mixing analysis. Both methods yield good estimates of the pedogenic component, especially for the palaeosols. The CBD procedure underestimates the lithogenic component and overestimates the pedogenic component. The magnitude of this effect is moderately high in loess layers but almost negligible in palaeosols. The mixing model overestimates the lithogenic component and underestimates the pedogenic component. Both methods can be adjusted to yield better estimates of both components. The lithogenic susceptibility, as determined by either method, suggests that palaeoclimatic interpretations based only on total susceptibility will be in error and that a single estimate of the average lithogenic susceptibility is not an accurate basis for adjusting the total susceptibility. A long-term decline in lithogenic susceptibility with depth in the section suggests more intense or prolonged periods of weathering associated with the formation of the older palaeosols.
The CBD procedure provides the most comprehensive information on the magnitude of the components and magnetic mineralogy of loess and palaeosols. However, the mixing analysis provides a sensitive, rapid, and easily applied alternative to the CBD procedure. A combination of the two approaches provides the most powerful and perhaps the most accurate way of separating the magnetic susceptibility components.     

塔里木盆地南缘沉积物磁化率变化与历史时期环境演化

磁化率作为一种重要的环境指标，在恢复气候环境演变方面得到了较为广泛的应用。本研究表明，塔克拉玛干沙漠南缘沉积物的低频磁化率对于本地区环境的演变反映较为敏感，因此本文以低频磁化率为主导指标，结合其它地质记录，对尼雅地区的古气候环境进行了恢复，研究结果表明：近4000年来尼雅地区的气候环境以干旱化为主，但期间仍有几次相对干湿的波动，共经历了3次相对湿润期和3次相对干旱期。据此恢复出的古气候环境与其它环境指标恢复出的结果具有较好的吻合性，不仅具有鲜明的区域性特征，同时也具全球性的一致性。     

中晚全新世毛乌素沙地东南部气候变化过程

位于中国北方半干旱区的毛乌素沙地对气候变化响应敏感,是研究气候变化的理想区域。通过对毛乌素沙地东南部锦界剖面磁化率、有机质含量、CaCO₃含量的分析,重建了7.5 ka BP以来的气候变化过程。结果显示：中晚全新世毛乌素沙地东南部环境与气候变化可分为3个阶段：7.5～4.6 ka BP,夏季风占主导,气候暖湿,与全新世大暖期对应;4.6～3.3 ka BP,气候突变为干冷并波动频繁;3.3～2.5 ka BP气候以干冷为主。另外,存在5次千年尺度的干旱事件：7.0～6.8 ka BP、6.6～5.7 ka BP、4.6～4.1 ka BP、3.7～3.5 ka BP、3.3～2.5 ka BP。研究区气候变化与全球具有较好的一致性。     

昆明市城区旱季尘土磁化率特征及环境意义

分析了昆明市区旱季道路尘土样品磁化率特征。结果表明,样品的Xlf的变化范围为96×10-8~9×10-8m3/kg,平均值为46.5×10-8m3/kg,Xfd值变幅为0.3﹪~13.8﹪,平均为2.0﹪;磁化率数值由市中心区向郊区呈下降趋势,且城市不同功能区的磁化率值也存在明显差异,表明影响昆明市街道尘土磁化率因素的多元性,工业活动可能不是昆明市城区道路尘土磁性矿物颗粒最主要来源,而主要是来自市区日常生产与生活活动,特别是昆明市众多机动车辆产生的磁性颗粒物;道路尘土中磁性矿物含量较高,以人为源为主,重金属污染较重。     

基于确定性系数方法的龙门山地区地震滑坡影响因子敏感性分析——以汶川地震与芦山地震诱发滑坡为例

在我国西南地区,沿龙门山断裂带分别发生了2008年汶川M_S8.0级地震以及2013年芦山M_S7.0级地震,这两次地震均造成了严重的地表破裂,并诱发了大量的滑坡和崩塌等次生地质灾害。文章选择了位于青藏高原向四川盆地过渡的区域——以龙门山断裂带为中心的30°~34°N,102°~106°E区域作为研究区,借助GIS工具,基于确定性系数（CF）方法,选取了地震、地质构造、自然环境和人类活动4大类因子,包括烈度、震中距、岩性、断裂、高程、坡度、坡向、河流、降雨、公路共10个因子（子集）,对汶川和芦山地震诱发的次生滑坡灾害进行影响因子敏感性分析,基于z值确定该区域内地震滑坡的关键因子类以及基于CF值确定各类集（子集）下各特定因子的具体地震滑坡敏感性。研究结果显示：地震因子具有最高的z值,是龙门山地区地震滑坡产生的关键影响因子,表明地震活动的强弱直接关系到斜坡的稳定性和次生滑坡灾害的面积分布。而对比烈度子集中的具体CF值表明：当烈度小于Ⅷ度时,烈度对次生滑坡发生的影响极低,区域内的主要影响因子则由地震因子转变为震中距、自然因子等其他类别的因子;其次以坡度、高程、与河流的距离为主的自然因子类别以及与断层的距离在地震滑坡过程中也有较高权重,而人类活动对研究区内坡体的稳定性也有着不可忽略的作用。本研究结果可作为该地区后续区域地震滑坡相关研究和发展规划的基础科学依据。

     

基于信息量与逻辑回归模型的次生滑坡灾害敏感性评价——以汶川县北部为例

次生滑坡灾害的影响是震后较长时间里人们持续关注的焦点,对其开展敏感性评价具有重要意义。选取5.12地震的重灾区汶川县北部作为研究区,利用遥感与地理信息技术提取地震滑坡信息,在全面分析滑坡与高程、坡度、坡向、岩性、断裂带、地震烈度以及水系等7个影响因子相关特性的基础上,采用信息量法与逻辑回归模型进行灾害敏感性评价,将研究区划分为极轻度、轻度、中度、高度和极高危险5个级别,并对不同模型的适用性开展分析和对比。结果表明,逻辑回归模型在描述区域滑坡灾害危险度总体特征方面稍具优势。     

A partial susceptibility approach to analysing the magnetic properties of environmental materials: a case study

An approach to expressing the magnetic properties of environmental materials in terms of the contributions of the magnetic susceptibilities of specific magnetic components is reported. The approach links the partial susceptibilities of discrete particles, domains or mineral fractions with the concentration-dependent parameters by means of multiple linear regression methods. The case study, using the Liverpool street dust data set, demonstrates that the technique is able to model the contributions of the main magnetic components satisfactorily. Several factors may have a significant impact on the regression results. These include the validity of the linear proportional relationships between partial susceptibilities and the relevant concentration-dependent parameters, the adequacy of the variable selection procedure and the regression model, and the suitability of certain magnetic parameters.     

蓬莱黄土剖面光释光年代学及其沉积特征研究

对山东半岛北部蓬莱林格庄黄土剖面进行了系统的野外考察,并进行了光释光测年以及粒度、磁化率指标分析。研究表明,磁化率的变化与不同粒级的百分含量具有一定的相关性,频率磁化率与粗颗粒含量基本呈一定的负相关。结合野外地层划分与光释光年代学测试可以将该剖面划分为3个黄土层和3个古土壤层,该剖面记录了末次间冰期以来该区气候和环境变化的历史。     

Mangshan Loess in Central China and the Paleomonsoon Variationssince the Last Interglaciation

The Mangshan Yuan is a loess platform on the southern bank of the Yellow River, which is located in northwestern Zhengzhou of Henan Province, China. The typical Zhaoxiayu section of the Mangshan Yuan preserves stratigraphical loess units above S10 with a total thickness of 172.1 m, which includes 15.7 m of the last interglacial paleosol S1, 77.3 m of the last glacial loess L1 that consist of 41.6 m of the late stade L1LL1, 13.2 m of the interstade L1SS1 and 22.5 m of the early stade L1LL2. Based on the age marking points by correlating magnetic susceptibility of the section with the SPECMAP curve, the timescale of the section was constructed, and the average accumulation rate and the resolution of each loess strata over the S2 were subsequently calculated using the     

基于层次分析法与GIS相结合的岩溶塌陷地质灾害易发性分区评估——以云南省师宗县为例

以岩溶地貌发育的云南省师宗县作为研究实例,通过层次分析法确定岩溶塌陷评估因子及其权重值,并划分岩溶塌陷评估因子的等级.在此基础上,利用GIS空间分析技术对岩溶塌陷空间数据进行处理和分析,按地质灾害综合危险性指数R值将研究区域划分为三大地质灾害易发程度不同的区域,并通过实例验证分析地质灾害综合危险性指数R值求取的可行性,实现了基于层次分析法与GIS技术相结合的云南省师宗县岩溶塌陷地质灾害易发性分区和评估.结果显示:师宗县岩溶塌陷高易发区(4≤R≤5)集中分布于研究区域的北部和中部,占总面积的39.22％;中